Senior Embedded Engineer - Imaging & Vision Systems

Senior Embedded Engineer Imaging & Vision Systems
Location: Hybrid Montreal, QC, Canada
Industry: Computer Vision, Medical & Scientific Imaging
Compensation: CAD $80,000 $110,000
Application Deadline: June 20, 2025
Type: Permanent, Full-Time

Were recruiting on behalf of a Canadian technology leader specializing in camera systems and embedded imaging solutions used globally in computer vision, medical diagnostics, and scientific imaging. With a growing presence in high-performance visual processing, this company delivers precision systems that power research labs, medical devices, and advanced machine vision platforms.

Must-Have Skills & Experience:

• Bachelors degree in Electrical Engineering, Software Engineering, or a related field

• 510 years of hands-on experience in embedded software development

• Solid background working with camera systems and image acquisition/processing hardware

• Expertise in embedded C/C++ programming

• Experience with FreeRTOS and/or Linux, including kernel and driver development

• Familiarity with OS internals, real-time systems, and low-level device control

• Proficient with GNU toolchains (gcc, make, ld, binutils)

• Basic proficiency in Python for scripting or test automation

• Version control experience (Git, SVN, etc.)

• Strong problem-solving, debugging, and documentation capabilities

• Creative, independent, and passionate about building cutting-edge imaging solutions

Role Overview

As a Senior Embedded Engineer, youll play a critical role in designing and developing high-performance firmware and low-level software for imaging systems deployed in precision-driven industries. You'll work closely with cross-functional teams to bring advanced camera and vision technologies to life, contributing to real-world impact in healthcare, research, and automation.

️ Key Responsibilities

• Develop embedded software in C for real-time applications on Linux or FreeRTOS platforms

• Build and optimize device drivers and kernel modules for image acquisition hardware

• Design cross-platform applications in C, C++, and Python

• Create, run, and maintain unit and integration tests for robust system performance

• Collaborate with hardware, QA, and architecture teams to ensure system-level integration

• Troubleshoot, document, and continuously improve firmware and embedded systems

Be part of a highly specialized team creating next-generation vision systems that drive innovation across medical, scientific, and industrial sectors.

️ Applications close June 20, 2025. Submit early to ensure consideration.